A service to train, deploy, automate, manage, and track machine learning models. Azure ML offers Basic and Enterprise editions. You can use Azure ML SDK for Python, Azure ML Studio, and ML CLI to manage your deployed models. You can automate and accelerate the ML lifecycle using MLOps. Azure ML designer allows you to visually connect (drag-and-drop) datasets and modules without writing any code. ML pipelines provide a complete logical workflow and an ordered sequence of steps. AutoML uses the target metric you specify to train and tune a model. Azure Cognitive Services enables developers to build cognitive intelligent applications [...]
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